3D data representation and visualization of blocks of buildings generated by means of aggregation generalization method

3D data representation and visualization of building blocks generated by the generalization aggregation method Abstract The bachelor thesis deals with the topic of 3D data representation and visualization. Its main objective is to automate the visualization of the result of the aggregation of LOD2 building blocks, which was performed using optimization method. In the first part, a survey of 3D building and building block generalization methods is performed, focusing on the aggregation method including the optimization problem from which the input data of this thesis comes. Next, an explanation of the actual algorithm design is given. The different phases of the method are discussed, followed by the actual implementation in Python 3. The principle of the actual algorithm is to remove redundant data by visualizing an aggregation of buildings with the same roof type. The minimization of the size of the resulting file is further provided by removing gaps between buildings and aligning the walls of the buildings on the outside of the block. All geometry changes are done under the condition that the volumes of building bodies and roof parts are preserved. Keywords: 3D GIS, generalization, aggregation, generalization automatio